Abstract
Product and process innovations determine the competitiveness of manufacturing enterprises. The evaluation of a prototype of a new product or technology is a very-important process which sets the strategy of manufacturing or service enterprise development. Research-and-development-processes are expensive and time-consuming. But the most important for a manufacturing or service enterprise is the effectiveness of these processes (as measured by the market success of a product or innovative technology). In this paper is proposed a model for a knowledge-management system for innovation-processes improvement and enterprise-strategy development. The system is aimed at small and medium-sized manufacturing or service companies. The model of the system was created on the base of the results of survey research made in 112 Polish small and medium-sized enterprises. Illustrative examples are given.
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References
Dickel, D.G., Moura, G.L.: Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management. RAI Revista de Administração e Inovação 13, 211–220 (2016)
Forsman, H.: Innovation capacity and innovation development in small enterprises. A comparison between the manufacturing and service sectors. Res. Policy 40(5), 739–750 (2011)
Nowacki, R., Bachnik, K.: Innovations within knowledge management. J. Bus. Res. 69, 1577–1581 (2016)
Roper, S., Dundas, N.H.: Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data. Res. Policy 44(7), 1327–1340 (2015)
Donate, M.J., Guadamillas, M.J.: Organizational factors to support knowledge management and innovation. J. Knowl. Manage. 15(6), 890–914 (2011)
Wang, C.H., Chang, C.H., Shen, G.C.: The effect of inbound open innovation on firm performance: evidence from high-tech company. Technol. Forecast. Soc. Chang. 99, 222–230 (2015)
Talke, K., Salomo, S., Kock, A.: Top management team diversity and strategic innovation orientation: the relationship and consequences for innovativeness and performance. J. Prod. Innov. Manag. 28(6), 819–832 (2011)
Jasarevic, S., Diering, M., Brdarevic, S.: Opinions of the consultants and certification houses regarding the quality factors and achieved effects of the introduced quality system. Tehnicki Vjesnik-Technical Gazette 19(2), 211–220 (2012)
Burduk, A.: Artificial neural networks as tools for controlling production systems and ensuring their stability. In: Saeed, K., Chaki, R., Cortesi, A., Wierzchoń, S. (eds.) CISIM 2013. LNCS, vol. 8104, pp. 487–498. Springer, Heidelberg (2013). doi:10.1007/978-3-642-40925-7_45
Kłos, S.: A model of an ERP-based knowledge management system for engineer-to-order enterprises. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 42–52. Springer, Cham (2016). doi:10.1007/978-3-319-46254-7_4
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Kłos, S., Skrzypek, K., Dabrowski, K. (2017). A Knowledge-Management System for the Innovation-Strategy Development of SME Enterprises. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_2
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DOI: https://doi.org/10.1007/978-3-319-67642-5_2
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